Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Ruben Urraca-Valle, Andrés Sanz-García, Julio Fernández-Ceniceros, Enrique Sodupe-Ortega, Francisco J. Martínez de Pisón Ascacibar. Improving Hotel Room Demand Forecasting with a Hybrid GA-SVR Methodology Based on Skewed Data Transformation, Feature Selection and Parsimony Tuning. In Enrique Onieva, Igor Santos, Eneko Osaba, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015, Proceedings. Volume 9121 of Lecture Notes in Computer Science, pages 632-643, Springer, 2015. [doi]

This author has not been identified. Look up 'Ruben Urraca-Valle' in GoogleThis author has not been identified. Look up 'Andrés Sanz-García' in GoogleThis author has not been identified. Look up 'Julio Fernández-Ceniceros' in GoogleThis author has not been identified. Look up 'Enrique Sodupe-Ortega' in GoogleThis author has not been identified. Look up 'Francisco J. Martínez de Pisón Ascacibar' in Google

runs on WebDSL